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Local labour markets delineation: an approach based on evolutionary algorithms and classification methods

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  • M. Pilar Alonso
  • Asunci�n Beamonte
  • Pilar Gargallo
  • Manuel Salvador

Abstract

In this paper a methodology for the delineation of local labour markets (LLMs) using evolutionary algorithms is proposed. This procedure, based on that in Fl�rez-Revuelta et al. [13,14], introduces three modifications. First, initial groups of municipalities with a minimum size requirement are built using the travel time between them. Second, a not fully random initiation algorithm is proposed. And third, as a final stage of the procedure, a contiguity step is implemented. These modifications significantly decrease the computational times of the algorithm (up to a 99%) without any deterioration of the quality of the solutions. The optimization algorithm may give a set of potential solutions with very similar values with respect to the objective function what would lead to different partitions, both in terms of number of markets and their composition. In order to capture their common aspects an algorithm based on a cluster partitioning of k -means type is presented. This stage of the procedure also provides a ranking of LLMs foci useful for planners and administrations in decision-making processes on issues related to labour activities. Finally, to evaluate the performance of the algorithm a toy example with artificial data is analysed. The full methodology is illustrated through a real commuting data set of the region of Arag�n (Spain).

Suggested Citation

  • M. Pilar Alonso & Asunci�n Beamonte & Pilar Gargallo & Manuel Salvador, 2015. "Local labour markets delineation: an approach based on evolutionary algorithms and classification methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 1043-1063, May.
  • Handle: RePEc:taf:japsta:v:42:y:2015:i:5:p:1043-1063
    DOI: 10.1080/02664763.2014.995604
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    1. Chakraborty, A. & Beamonte, M.A. & Gelfand, A.E. & Alonso, M.P. & Gargallo, P. & Salvador, M., 2013. "Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 292-307.
    2. Anne Kaag Andersen, 2002. "Are Commuting Areas Relevant for the Delimitation of Administrative Regions in Denmark?," Regional Studies, Taylor & Francis Journals, vol. 36(8), pages 833-844.
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    2. Lucas Martínez-Bernabéu & José Manuel Casado-Díaz, 2022. "Automatic delimitation of labour market areas based on multi-criteria optimisation: The case of Spain 2011," Environment and Planning B, , vol. 49(2), pages 654-670, February.

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